Clinical Data Management Course
OR
Prepared by Docthub Courses Team ∣
Last updated on 17 Jul 2025
Overview
This program prepares students to collect, manage, and analyse clinical trial data to ensure quality and regulatory compliance. Modules on structured database locking procedures, data entry activities, validation checks, discrepancies and CRF design modules exist. Training is inclusive of data standards like CDISC, introduction to SQL basics, and understanding of various CDMS tools like Oracle Clinical, REDCap, and Medidata Rave. Internships at CROs or in pharmaceutical companies provide exposure to real-life database implementation. Data governance, audit trails, quality assurance, and regulatory guidelines (ICH/GCP) have all been covered in the curriculum. The students brush through metadata management. Risk-based monitoring is highlighted in the course curriculum along with integrity, accuracy, and securing data through various channels. Graduates from this course can then be part of clinical teams as well as biostatisticians in developing and implementing data management plans. Data management careers would be within database systems, validation, and data coordination, given the program. Graduates from this course can look forward to well-prepared future positions in informatics or biostatistics. Alternate texts in less perplexed but more burstiness at the same word and HTML are: Database lock procedures, data entry, validation checks, discrepancies, and CRF design are all structured modules. Training covers data standards such as CDISC, SQL basics, and CDMS tools, including Oracle Clinical, REDCap, and Medidata Rave. Internships at CROs or in pharmaceutical companies provide exposure to real-life database implementation. Data governance, audit trails, quality assurance, and regulatory guidelines (ICH/GCP) have all been covered under the same curriculum. The students brush through metadata management. Risk-based monitoring is highlighted in the course curriculum along with integrity, accuracy, and securing data through various channels. Data management careers would be within database systems, validation, and data coordination, given the program. Future positions in informatics or biostatistics are well-prepared for.

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Qualifications
BSc Life Sciences
BE Computer Science
BSc Biostatistics
Related Specialty
Healthcare Data Science
Medical Data Annotation
Data Operations
Pharma Quality Assurance
In-Process Quality Assurance (IPQA)
Clinical Data Management